University of Tampa Bay (UTB) — Pharmaceutical Education Reimagined · Est. February 2026
University of Tampa Bay University of Tampa Bay4i · Industry Integrated
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School of Pharma Sciences · Career Track

Pharma 4.0 & Smart Manufacturing Engineer

A senior-level track (9-12 months) preparing you for smart manufacturing and Pharma 4.0 engineering roles, pairing advanced engineering and automation courses with applied AI for pharma manufacturing. Completing the track earns the Smart Manufacturing Certificate.

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Duration
9–12 months
Courses
8 Courses
Certificate
Smart Manufacturing Certificate
School
School of Pharma Sciences
TRACK LEARNING PATH

Your Course Roadmap

01
ENG-101
Equipment Qualification Fundamentals
02
AIP-101
AI/ML Fundamentals for Drug Discovery
03
AIP-102
Predictive Modeling and Machine Learning
04
ENG-202
Quality by Design (QbD) Principles
05
ENG-203
Automation and Control Systems
06
AIP-201
Advanced AI Applications in Drug Development
07
ENG-301
Engineering Leadership and Project Management
08
ENG-302
Emerging Engineering Technologies

8 courses in sequence · leading to the Smart Manufacturing Certificate

CERTIFICATE EARNED

Certificate: Smart Manufacturing Certificate

Duration
9–12 months
Credits
8 Courses
Tuition Band
$3,500–$4,500
Awarded By
School of Pharma Sciences
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CAREER DESTINATIONS

Roles This Track Prepares You For

Manufacturing & Operations
Operations Supervisor
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Manufacturing & Operations
Operations Manager
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Leadership & Executive
VP Operations
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Leadership & Executive
Chief Operations Officer
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CURRICULUM DOMAINS

Domains Covered in This Track

Domain 04 · 5 Courses in This Track
Process Engineering & Validation
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Domain 09 · 3 Courses in This Track
Artificial Intelligence in Pharma
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WHAT YOU WILL MASTER

Skills You Will Gain

Automation & control systems AI/ML for manufacturing Predictive modeling Quality by Design (QbD) Digital transformation leadership Emerging engineering technologies Equipment qualification
LEARNING OUTCOMES

By the End of This Track, You Can…

01Lead Pharma 4.0 digitalization initiatives across manufacturing sites
02Apply AI/ML models to process monitoring and predictive maintenance
03Integrate automation and control systems into validated GMP environments
04Use QbD to connect digital process data to critical quality attributes
05Evaluate and pilot emerging smart-manufacturing technologies

Ready to Become a Pharma 4.0 & Smart Manufacturing Engineer?

Your track. Your courses. Your certificate. UTB makes the path clear — from day one.

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